some useful code
Project description
This is a project for later lazy work!
Some code is from other people, and some is from me.
bert_model
usage:
- prepare a trained model, tell classifier model
- prepare train.csv and test.csv, its format is like this: "id, text1, label"
- init the model, the code is like below
model = SimpleClassifierModel(
bert_config_file="./data/chinese_L-12_H-768_A-12/bert_config.json",
vocab_file="./data/chinese_L-12_H-768_A-12/vocab.txt",
output_dir="./output",
max_seq_length=512,
train_file="./data/train.csv",
dev_file="./data/dev.csv",
init_checkpoint="./data/chinese_L-12_H-768_A-12/bert_model.ckpt",
label_list=[0, 1, 2, 3]
)
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